Freenet
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Freenet | 99 | 6 months ago | 4 | gpl-3.0 | Python | |||||
| FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624 | ||||||||||
| Ck Tvm | 12 | 3 years ago | bsd-3-clause | Python | ||||||
| Portable and customizable Collective Knowledge workflows for TVM and VTA: | ||||||||||
| Flower_classification_vai_tf_numpy_array | 10 | 4 years ago | 1 | mit | C++ | |||||
| The project is a simple example about how to use TensorFlow to train a ConNet model from labeled dataset and then use Vitis AI tools to deploy the model into Xilinx FPGA(ZCU102 board). To make it easier to deploy with Vitis AI. I just use numpy array as input data and OpenCV function to open images. And there is backup for DNNDK3.1 tag | ||||||||||
| Cnn For Modulation Recognition Based On Fpga | 9 | a year ago | 1 | VHDL | ||||||
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Python
Deep Learning
Computer Vision
Convolutional Neural Networks
Classification
Fpga
Geospatial
Image Classification
Remote Sensing